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Laboratory process specifications for assuring quality in the U.S. National Cholesterol Education Program
J O Westgard1, P H Petersen, D A Wiebe
1Department of Pathology and Laboratory Medicine, Medical School, University of Wisconsin, Madison 53792.
Clinical Chemistry
|May 1, 1991
Summary
National Cholesterol Education Program (NCEP) guidelines for cholesterol testing quality are insufficient for individual tests. Tighter laboratory specifications for imprecision and bias are needed to ensure accurate cholesterol measurements.
Area of Science:
- Clinical Chemistry
- Laboratory Quality Assurance
- Medical Diagnostics
Background:
- The U.S. National Cholesterol Education Program (NCEP) provides guidelines for cholesterol testing quality.
- Ensuring the accuracy of cholesterol tests is crucial for proper medical interpretation and patient care.
- Laboratory testing involves pre-analytical and analytical variables that can impact test results.
Purpose of the Study:
- To assess laboratory specifications for cholesterol testing quality aligned with NCEP guidelines.
- To develop a model relating NCEP interpretation guidelines to pre-analytical and analytical variables.
- To derive allowable imprecision (CV) and inaccuracy (bias) specifications and necessary quality-control procedures.
Main Methods:
- Developed a model to connect NCEP cholesterol test interpretation guidelines with influencing variables.
- Derived specifications for allowable imprecision (CV) and bias under stable operation.
- Determined quality-control procedures (rules, control measurements) for detecting unstable operation.
Main Results:
- NCEP goals (CV ≤ 3%, bias ≤ ±3%) are inadequate for single cholesterol tests with common quality-control procedures.
- With two control measurements, 3% CV is only acceptable with zero bias; 2% CV is needed for ±3% bias.
- With four control measurements, 3% CV is acceptable for ±1.5% bias; 2.5% CV is required for ±3% bias.
- NCEP 3% goals are adequate for two serial tests with four control measurements per run.
Conclusions:
- Current NCEP quality goals for cholesterol testing are insufficient for ensuring the reliability of individual results.
- Tighter laboratory imprecision and bias specifications are necessary, especially when using fewer control measurements.
- Optimized quality-control procedures are essential for detecting analytical instability in cholesterol testing.